Private Data Collections: Enabling Data Privacy in Permissioned Blockchains
Summary: Separates private storage from the replicated ledger: authorized peers retain data, while on-chain hashes provide tamper evidence and serializability checks. Blind validation proves hashes preserve OCC conflicts exactly, enabling disclosure-free validation; Fabric overhead is 3–14%. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Senthilnathan Natarajan (IBM)
- 2. Manish Sethi (IBM)
- 3. Dave Enyeart (IBM)
- 4. Yacov Manevich (IBM)
- 5. Artem Barger (University of Jyväskylä)
BibTeX Citation
@article{natarajan_vldb26,
title = {{Private Data Collections: Enabling Data Privacy in Permissioned Blockchains}},
author = {Natarajan, Senthilnathan and Sethi, Manish and Enyeart, Dave and Manevich, Yacov and Barger, Artem},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4263--4275},
doi = {10.14778/3827998.3828031},
url = {https://doi.org/10.14778/3827998.3828031},
year = {2026}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,577 | Blockchain Meets Database: Design and Implementation of a Blockchain Relational Database | 2019 | VLDB | 0.00010189541 |
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